Mark LaRocco

61 papers receiving 1.7k citations

Peers

Mark LaRocco
Comparison fields: 5 of 121
  • Molecular Medicine 386
  • Applied Microbiology and Biotechnology 131
  • Critical Care and Intensive Care Medicine 250
  • Endocrinology 174
  • Infectious Diseases 606
Replace René Courcol with:
René Courcol France
D. C. E. Speller United Kingdom
Kazunori Tomono Japan
Jang Wook Sohn South Korea
Yuka Yamagishi Japan
Aldona L. Baltch United States
Andrea Grisold Austria
John D. Rihs United States
Nadim Cassir France
Eiman Mokaddas Kuwait
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Citations per year

Countries citing papers authored by Mark LaRocco

Since Specialization
Citations

This map shows the geographic impact of Mark LaRocco's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mark LaRocco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark LaRocco more than expected).

Fields of papers citing papers by Mark LaRocco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark LaRocco. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mark LaRocco. The network helps show where Mark LaRocco may publish in the future.

Co-authors

The 25 scholars most cited alongside Mark LaRocco, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark LaRocco Line = papers co-authored together Mark LaRocco links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994202
2 2002193
3 1991175
4 201596
5 200892
6 199481
7 200669
8 199361
9 198860
10 199457
11 199450
12 200747
13 199745
14 200739
15 200838
16 200737
17 200134
18 199233
19 199831
20 199230

About Mark LaRocco

Mark LaRocco is a scholar working on Epidemiology, Infectious Diseases, Molecular Medicine, Molecular Biology and Endocrinology, having authored 61 papers that have together received 1.9k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (14 papers), Antifungal resistance and susceptibility (8 papers), Clostridium difficile and Clostridium perfringens research (6 papers), Vibrio bacteria research studies (6 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers), Bacterial biofilms and quorum sensing (5 papers), Bacterial Identification and Susceptibility Testing (5 papers) and Escherichia coli research studies (5 papers). The work is most often cited by research in Molecular Medicine (386 citations), Applied Microbiology and Biotechnology (131 citations), Critical Care and Intensive Care Medicine (250 citations), Endocrinology (174 citations) and Infectious Diseases (606 citations). Mark LaRocco has collaborated with scholars based in United States, Netherlands and Thailand. Frequent co-authors include Layne O. Gentry, Margaret F. Price, Kevin W. Garey, Liliana F. Rodriguez, Susan M. Houston, Norbert Runkel, Gregory S. Smith, Frank G. Moody, Thomas A. Miller and Vincent H. Tam. Their work appears in journals such as Journal of Clinical Microbiology, Diagnostic Microbiology and Infectious Disease, Antimicrobial Agents and Chemotherapy, European Journal of Clinical Microbiology & Infectious Diseases and Clinical Microbiology Reviews.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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